Leading the Global Growth of Graphs: The 5-Minute Interview with GraphAware

Read this interview with Michal Bachman, the CEO of GraphAware, who discusses their use of graph technology.

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The Future of AI: Machine Learning and Knowledge Graphs

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Graphs for Artificial Intelligence and Machine Learning

Discover how graph technology is changing the artificial intelligence and machine learning landscape with graph theory and algorithms.

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This Week in Neo4j – English WordNet Graph, Supervised Machine Learning, Using Neo4j with GraalVM

Hi everyone, The big graph news of this week is the release of version 1.5 of the Graph Data Science Library. Alicia Frame and Amy Hodler give us the lowdown, including the first supervised machine learning algorithms in the library.… Read more →

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Driving Innovation and Powering Advanced Analytics with Neo4j

Neerav Vyas, Realogy, discusses the value of using Neo4j to strengthen lead conversion, user experience and agent management.

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21 Reading Recommendations for 2021

Check out the 21 books to add to your 2021 reading list in 2021, on topics including graph technology and AI/machine learning.

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The Top 7 Neo4j Webinars of 2020

Check out the top Neo4j webinars from 2020, exploring key topics like human trafficking, responsible AI, graph data science and more.

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Evolving Your Application of GDS Technology

Discover how graph data science helps you make better decisions, increase quality predictions and creat new ways to innovate and learn.

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Updated GraphAcademy Course: Using a Machine Learning Workflow for Link Prediction

Discover what to expect from the updated GraphAcademy course: Using a Machine Learning Workflow for Link Prediction.

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The Great Hookup: Announcing Neo4j Connector for Apache Spark

Announcing a new and great integration tool that moves and reshapes data bi-directionally between Neo4j and Apach Spark.

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An Explosion of Use Cases: 5-Minute Interview with Rik Van Bruggen

Check out this week’s 5-Minute Interview with Rik Van Bruggen, Vice President for Sales, Neo4j, about his experience with Neo4j.

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Insider Guide to Graph Data Science: First, a Brief Overview

Check out the first installment in this blog series on insider tips and tricks for the Neo4j Graph Data Science Library.

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Elsevier Boosts Global COVID-19 Research with Neo4j

Learn how Elsevier, a Dutch publishing and analytics company specializing in scientific and medical content uses Neo4j for COVID-19 research.

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Predicting Fraud: 5-Minute Interview with Marius Hartmann

Check out this week’s 5-Minute Interview with Marius Hartmann, Chief Advisor at the Danish Business Authority, about predicting fraud.

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5-Minute Interview: Graph-Powered Machine Learning with Dr. Alessandro Negro

Check out this 5-minute interview with Dr. Alessandro Negro, Chief Scientist at GraphAware, and author of Graph-Powered Machine Learning.

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Combating Money Laundering: Graph Tech Fights Serious Crimes

Read the first blog in Neo4j’s new six-part series on how Neo4j’s graph technology can help you combat money laundering.

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Building the Enterprise Knowledge Graph

Learn how to build and implement an enterprise knowledge graph from the groun up using the Google Drive API and Neo4j Python.

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